# Data Scientist

**Company:** [Tatu City](http://jobs.workable.com/companies/qcR7dmBMkzBx92LjgJfYWJ.md)
**Location:** Tatu City, Kenya
**Workplace:** on site
**Department:** Finance Department

[Apply for this job](http://jobs.workable.com/view/24aed5a5-8eaa-4b0f-9819-375baebfe652)

## Description

Do you enjoy telling stories through data and working with large datasets?

Our Sales Planning team is looking for a Data Scientist to explore customer journey touchpoints, develop dashboards and reports that drive meaningful change in our Call Center. You’ll use your business acumen to turn data-driven insights and analysis into actionable strategies that enhance performance and customer experience.

**RESPONSIBILITIES**

-   Write SQL queries and Python code to retrieve, process, and analyze large datasets.
-   Construct efficient multi-threaded data models from large data sets.
-   Develop dashboards and create visual reports for both daily operations and executive-level insights.
-   Apply statistical analysis, predictive/prescriptive modeling, and forecasting to uncover business insights.
-   Analyze customer journey touchpoints to identify trends, behavior patterns, and areas for improvement.
-   Make data backed recommendations on Contact Center programs.
-   Correlate omnichannel data for KPI tracking and manage cross-platform reporting.
-   Collaborate with stakeholders to understand business needs and deliver clear, actionable solutions.

## Requirements

-   A bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field
-   At least 2 years of experience in an analytical role
-   Advanced experience with SQL, Python, building data models, data validation, and QA
-   Strong data mining skills with an understanding of cross-platform integrations
-   Excellent Excel and PowerPoint skills
-   Strong attention to detail, analytical skills, and the ability to manage multiple tasks
-   Comfortable working in a fast-paced, dynamic environment with shifting priorities
-   Strong written and verbal communication skills, with a solid analytical mindset
-   Experience with Power BI, Azure Data Lake, Databricks, visual analytics, omnichannel data, Azure Cognitive Services, speech analytics, and sentiment analysis is a plus